diana-hep / carlLinks
Likelihood-free inference toolbox.
☆56Updated 8 years ago
Alternatives and similar repositories for carl
Users that are interested in carl are comparing it to the libraries listed below
Sorting:
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 6 years ago
- A probabilistic programming framework based on TensorFlow☆87Updated 6 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Scalable 1D Gaussian Processes in C++, Python, and Julia☆188Updated last week
- ELFI - Engine for Likelihood-Free Inference☆277Updated 5 months ago
- Versatile, high-performance histogram toolkit for Numpy.☆109Updated 6 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Decorator for PyMC3☆50Updated 4 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 10 years ago
- MLHEP 2015 materials (http://hse.ru/mlhep2015)☆19Updated 10 years ago
- Package template for a project using Cython☆59Updated 9 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 6 years ago
- A tool for creating catterplots in Python with matplotlib☆52Updated 3 years ago
- A Python package for Approximate Bayesian Computation☆38Updated 9 years ago
- Machine Learning for High Energy Physics.☆193Updated 3 weeks ago
- Python library for optimizing noisy functions.☆88Updated last week
- Main repository for image generation and CNN training https://arxiv.org/abs/1609.00607☆24Updated 5 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 9 years ago
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆111Updated last year
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆75Updated 2 weeks ago
- Cython interface for the GNU Scientific Library (GSL).☆120Updated 3 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Sequential Monte Carlo working on top of pymc☆49Updated 6 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆339Updated 2 years ago
- Experimental code for porting PyMC to alternative backends☆26Updated 7 years ago
- Approximate Bayesian Computation Population Monte Carlo☆41Updated 5 years ago